Rejoindre Se connecter

Apply your skills in Google Cloud console

Ike Omerenma

Date d'abonnement : 2025

Build, Train and Deploy ML Models with Keras on Google Cloud Earned déc. 18, 2025 EST
Feature Engineering Earned déc. 4, 2025 EST
Engineer Data for Predictive Modeling with BigQuery ML Earned déc. 1, 2025 EST
Create ML Models with BigQuery ML Earned nov. 28, 2025 EST
Prepare Data for ML APIs on Google Cloud Earned nov. 26, 2025 EST
Working with Notebooks in Vertex AI Earned nov. 23, 2025 EST
Introduction to AI and Machine Learning on Google Cloud Earned nov. 21, 2025 EST
Build a Certification Study Guide: PMLE Earned nov. 18, 2025 EST
Use Machine Learning APIs on Google Cloud Earned nov. 13, 2025 EST
Cloud Hero Data Skills Earned sept. 5, 2025 EDT

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

En savoir plus

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

En savoir plus

Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.

En savoir plus

Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

En savoir plus

Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

En savoir plus

This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.

En savoir plus

This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

En savoir plus

Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.

En savoir plus

Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.

En savoir plus

Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.

En savoir plus